K. Lira Yoon: h-index, Total Citations, and Citation Map
K. Lira Yoon's h-index is 27 (39 i10-index, 3,438+ total citations across 3+ publications) according to Google Scholar as of May 2026. K. Lira Yoon is affiliated with University of Maryland, Baltimore County.
K. Lira Yoon is a researcher affiliated with University of Maryland, Baltimore County, specializing in Anxiety, Depression, Cognitive Processes. Their work has been cited 3,438 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
K. Lira Yoon's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 27
- i10-Index
- 39
- Total Citations
- 3,438
- Citing Countries
- 7
As of May 2026.
K. Lira Yoon has an h-index of 27 and 3,438 total citations across 3 publications, with research cited by institutions in 7 countries.
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Global Impact Map
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Top Cited Works
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Cognitive inhibition in depression
2007408
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Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
The researcher established a foundational framework for understanding cognitive inhibition deficits in depression, a seminal contribution that has significantly influenced subsequent independent research in clinical psychology.
The researcher established a foundational link between social anxiety and the biased interpretation of ambiguous facial expressions, demonstrating that threat perception is subjective.
The researcher established a foundational framework linking cultural and gender differences in emotion regulation to depression, a contribution validated by extensive independent scholarly uptake.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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